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Study of Integrate Models of Rough Sets and Grey Systems

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Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

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Abstract

This paper firstly compares rough sets theory with grey system theory, then the concept of grey sets is proposed and the grey degree of grey sets and the basic relationships and operations of grey sets are defined. Next, we set up the models of grey rough sets and wide grey rough sets as well as study their properties. Moreover, the definition of rough grey sets is given and their basic characters are investigated. Furthermore, the relations between rough grey sets and grey rough sets are researched. Finally, we come to the conclusion that it is possibly more effective to deal with some uncertain problems if the theories and methods of rough sets and grey systems are combined.

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Author information

Authors and Affiliations

  1. School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China

    Wu Shunxiang & Liu Sifeng

  2. Department of Automation, Xiamen University, Xiamen, 361005, China

    Wu Shunxiang & Li Maoqing

Authors
  1. Wu Shunxiang
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  2. Liu Sifeng
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  3. Li Maoqing
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Editor information

Editors and Affiliations

  1. School of Electrical and Electronic Engineering, Nanyang Technological University, Block S1, Nanyang Avenue, 639798, Singapore

    Lipo Wang

  2. Honda Research Institute Europe GmbH, Offenbach/Main, Germany

    Yaochu Jin

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© 2005 Springer-Verlag Berlin Heidelberg

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Shunxiang, W., Sifeng, L., Maoqing, L. (2005). Study of Integrate Models of Rough Sets and Grey Systems. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_166

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  • DOI: https://doi.org/10.1007/11539506_166

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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